Helping data scientist to match and explore heterogeneous datasets,
even when their scheme is unknown or unfamiliar, is an active
and interesting area of research with multiple ramifications [1]}, [2]},
one of which is schema matching [3]}. To the best of our knowledge,
there has been no detailed discussions on how this can be achieved on multidimensional
spaces when uncertainty is unavoidable.
